Remove a Known PDF Password from an Authorized Copy
Learn how to create an unprotected working copy of a PDF when you know the password and are authorized to modify the document.
Read guide →Choose embedded PDF text extraction, OCR for scanned pages, or image OCR based on what the source actually contains.
In this guide
Text extraction reads characters already stored inside a digital PDF. Optical character recognition (OCR) estimates characters from page pixels. Use extraction when a selectable text layer exists; use OCR for scans, photographs, or pages whose embedded text is empty or unusable.
FiloTool's Smart extraction checks pages individually, so a mixed PDF can use its embedded layer where useful and OCR only the pages that need it.
Complete this task using FiloTool's PDF to Text directly from your browser.
Open PDF to Text →Try selecting a sentence in a trusted PDF viewer. Clean selection is evidence of an embedded text layer, although its reading order can still be poor. A scan often behaves like one large image. Some PDFs are mixed: a digital cover followed by scanned attachments.
Digital PDF: characters are stored as text objects
Scanned PDF: visible words are pixels
Mixed PDF: the method can differ by page
Direct extraction is generally faster and preserves the characters the file contains, but columns, tables and unusual encodings can produce a confusing order. OCR can read pixels but may confuse letters, punctuation, dates, handwriting or low-contrast text. Neither method recreates exact fonts or layout in plain text.
Start with PDF to Text in Smart mode for an unknown or mixed document. Use OCR PDF when the whole task is recognition of scanned pages. Use Image to Text for a screenshot or photograph rather than first wrapping it in a PDF.
Select a short representative page range
Try embedded or Smart extraction
Check names, dates, amounts and reading order
Choose the printed OCR language when recognition is needed
Proofread the editable result against the source
Correct rotation, crop unrelated borders, choose the actual language, and improve contrast gradually. High-resolution rendering can help small print but uses more memory. Thresholding can clarify a clean scan and erase faint strokes in a poor one. Handwriting, curved pages, mixed languages and complex tables remain difficult.
These FiloTool workflows process document or image pixels locally; OCR code and selected language data may still need to load. Do not treat OCR output as authoritative for legal, medical, financial or identity data without human verification. PDF to Text accepts one PDF up to 100 MiB and 300 pages, limits OCR-capable jobs to 100 selected pages, and limits individual rendered pages to 25 megapixels.
Open the tool, upload your file and complete the task in a few simple steps.
Try It Now →Common questions
Clear answers to common questions about this topic and the related FiloTool tool.
Not when a clean embedded layer exists. Direct extraction reads stored characters; OCR estimates them from pixels and can introduce errors.
The page may store text in drawing order rather than reading order. Columns, positioned fragments and tables can expose that difference.
It may recover the words, but plain-text output does not guarantee row and column structure. Verify and rebuild important tables manually.
Smart extraction is designed for that case: it uses meaningful embedded text and falls back to OCR page by page.
Useful Tools
These workflows are selected for the next steps most closely related to this guide.
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